Visionaize
AI-Modernization-Leading-Financial
A major U.S. financial services company needed to modernize its AI ecosystem to support real-time analytics, regulatory compliance, and next-generation AI capabilities (including LLMs). Legacy, siloed AI systems across f…
A major U.S. financial services company needed to modernize its AI ecosystem to support real-time analytics, regulatory compliance, and next-generation AI capabilities (including LLMs).
Business Challenge
Legacy, siloed AI systems across fraud, risk, and analytics
Slow, manual model deployment cycles
Outdated on-prem infrastructure
Compliance pressure around model governance (SR 11-7)
Limited ability to support generative AI or real-time decisioning
- Legacy, siloed AI systems across fraud, risk, and analytics
- Slow, manual model deployment cycles
- Outdated on-prem infrastructure
- Compliance pressure around model governance (SR 11-7)
- Limited ability to support generative AI or real-time decisioning
Our Engagement
Visionaize delivered a full Discovery → Strategy → Implementation program aligned with the CTO and AI leadership.
Want to see similar results for your company?
Get in touch with a visionaize AI expert to see how our team can help.
1. Discovery
Model development & deployment workflows
Legacy infrastructure and data silos
Governance and compliance processes
Cloud readiness and AI tooling
180+ fragmented models, no standardized ML pipeline, limited automation, and inconsistent governance.
- Model development & deployment workflows
- Legacy infrastructure and data silos
- Governance and compliance processes
- Cloud readiness and AI tooling
2. Strategy
Cloud-Native AI Platform (Databricks + ML Ops pipeline)
End-to-End ML Ops Automation for training, deployment, and monitoring
Modernized Governance with automated documentation and audit trails
Unified Data Lakehouse to eliminate siloed analytics
Generative AI Enablement through a secure LLM environment
- Cloud-Native AI Platform (Databricks + ML Ops pipeline)
- End-to-End ML Ops Automation for training, deployment, and monitoring
- Modernized Governance with automated documentation and audit trails
- Unified Data Lakehouse to eliminate siloed analytics
- Generative AI Enablement through a secure LLM environment
3. Implementation
Migration to Databricks Lakehouse & MLflow
Automated CI/CD for model lifecycle management
Real-time pipelines for fraud and risk scoring
Compliance automation (lineage, validation, explainability)
Safe, controlled LLM environment for internal use cases
- Migration to Databricks Lakehouse & MLflow
- Automated CI/CD for model lifecycle management
- Real-time pipelines for fraud and risk scoring
- Compliance automation (lineage, validation, explainability)
- Safe, controlled LLM environment for internal use cases
Results
Weeks → under 48 hours.
Significant reduction in fraud losses.
Why Visionaize?
Cloud platform engineering
ML Ops automation
Financial model governance expertise
Generative AI implementation
- Cloud platform engineering
- ML Ops automation
- Financial model governance expertise
- Generative AI implementation
Ready to see Visionaize in action?
Talk to our team about your industrial AI roadmap.